Matrix Exploratory Data Analysis Output:

1 Structure

1.1 Column types

# 
# numeric 
#       4

1.2 Missing values, NAs, and Negatives

# [1] "Are all rows complete?: TRUE"
# [1] "Are there any NAs?: FALSE"
# [1] "Are any values negative?: TRUE"

# [1] "Structure"
#  num [1:150, 1:4] -0.898 -1.139 -1.381 -1.501 -1.018 ...
#  - attr(*, "dimnames")=List of 2
#   ..$ : NULL
#   ..$ : chr [1:4] "Sepal.Length" "Sepal.Width" "Petal.Length" "Petal.Width"
#  - attr(*, "scaled:center")= Named num [1:4] 5.84 3.06 3.76 1.2
#   ..- attr(*, "names")= chr [1:4] "Sepal.Length" "Sepal.Width" "Petal.Length" "Petal.Width"
#  - attr(*, "scaled:scale")= Named num [1:4] 0.828 0.436 1.765 0.762
#   ..- attr(*, "names")= chr [1:4] "Sepal.Length" "Sepal.Width" "Petal.Length" "Petal.Width"

2 Heatmap of scaled data

3 Violin Plot

4 Correlation Plot

5 Outlier Plots

6 Cumulative Variance

7 Pairs Plots

# NULL

8 BIC Plots

# Best BIC values:
#              VVV,2       VVV,3      VEV,2
# BIC      -790.6956 -797.517826 -802.52526
# BIC diff    0.0000   -6.822217  -11.82965

# EII VII EEI VEI EVI VVI EEE EVE VEE VVE EEV VEV EVV VVV 
#  17   2  16  13  10   1  15   5   8   9  12   7  14   0

9 Mclust classifications

# NULL